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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2024

A DNA-based molecular clamp for probing protein interactions and structure under force.

Cellular mechanotransduction, a process central to cell biology, embryogenesis, adult physiology and multiple diseases, is thought to be mediated by force-driven changes in protein conformation that control protein function. However, methods to study proteins under defined mechanical loads on a biochemical scale are lacking. We report the development of a DNA based device in which the transition between single-stranded and double-stranded DNA applies tension to an attached protein. Using a fragment of the talin rod domain as a test case, negative-stain electron microscopy reveals programmable extension while pull down assays show tension-induced binding to two ligands, ARPC5L and vinculin, known to bind to cryptic sites inside the talin structure. These results demonstrate the utility of the DNA clamp for biochemical studies and potential structural analysis.

bioengineering↗

bioRxiv2024

Giant pore formation in vesicles under msPEF-induced electroporation: role of charging time and waveform

Giant unilamellar vesicle is the closest possible prototypical model for investigating membrane electrodeformation and electroporation in biological cells. In this paper, the effect of membrane charging time on vesicle electroporation, an unresolved issue, is exclusively investigated under milli-second pulsed-electric-field (msPEF) of different waveforms, using numerical simulations. The existing analytical models uncover several fundamental features of cell or vesicle electroporation, but remain far from being realistic as electrode-formation effects were neglected. Our numerical approach, which implements the effect of electric stretching on membrane tension and precise calculation of pore energy, successfully predicts the formation of giant pores of O({micro}m) size as observed in past experiments. The poration zone is found to extend up to certain angles from the poles, termed critical angles. Increase in charging time delays pore formation, decreases the pore density as well as trim downs the poration zone. Counterintuitively, this effect promotes significant pore growth. Thus, more pores evolve into giant pores resulting in higher fractional pore area. Moreover, there exists a cut-off charging time above which pore formation is completely inhibited. This phenomenon is particularly pronounced with bipolar pulses. Comparisons with the past experimental results reveal that electrodeformation-poration-induced membrane surface area variation and that induced by electroporation evolves in a similar fashion. Therefore, although the agreements are qualitative, the present electroporation model can be used as the simplest tool to predict the transient electrodeformation of a porated vesicle in the laboratory experiments.

biophysics↗

bioRxiv2024

DNA walk of specific fused oncogenes exhibit distinct fractal geometric characteristics in nucleotide patterns

Background/ObjectivesThe complex system of cancer has led to an emphasis on understanding the more general causal relationship within the disease. In this context, concepts of symmetry and symmetry-breaking in distinct biological cell features or components have been examined as an approach to cancer investigation. However, there can be possible limitations in directly interpreting the symmetry-based approach from a physical viewpoint due to the lack of understanding of physical laws governing symmetry in complex systems like cancer. MethodsFractal geometry and DNA walk representation were employed to investigate the geometric features i.e., self-similarity and heterogeneity in DNA nucleotide coding sequences of wild-type and mutated oncogenes, tumour-suppressor, and other unclassified genes. The mutation-facilitated self-similar and heterogenous features were quantified by the fractal dimension and lacunarity coefficient measures, respectively. Additionally, the geometrical orderedness and disorderedness in the analyzed sequences were interpreted from the combination of the fractal measures. ResultsThe findings showed distinct fractal geometric features in the case of fusion mutations. It also highlights the possible interpretation of the observed fractal features as geometric analogues concerning explicit observations corresponding to specific cancer types. In addition, the two-dimensional multi-fractal analysis highlighted the presence of a single exponent in the scaling of mutation-mediated gene sequence self-similarity/complexity and heterogeneity. ConclusionsThe approach identified mutation-induced geometric features in gene sequences, demonstrating the potential of DNA walks and fractal analysis in translational research regarding cancer. The findings suggest that investigating fractal parameters can capture unique geometric features in nucleotide sequences, contributing to the understanding of cancers molecular complexity.

bioinformatics↗

bioRxiv2024

Cryo-ET reveals the in situ architecture of the polar tube invasion apparatus from microsporidian parasites

Microsporidia are divergent fungal pathogens that employ a harpoon-like apparatus called the polar tube (PT) to invade host cells. The PT architecture and its association with neighboring organelles remain poorly understood. Here, we use cryo-electron tomography to investigate the structural cell biology of the PT in dormant spores from the human-infecting microsporidian species, Encephalitozoon intestinalis. Segmentation and subtomogram averaging of the PT reveal at least four layers: two protein-based layers surrounded by a membrane, and filled with a dense core. Regularly spaced protein filaments form the structural skeleton of the PT. Combining cryo-electron tomography with cellular modeling, we propose a model for the 3-dimensional organization of the polaroplast, an organelle that is continuous with the membrane layer that envelops the PT. Our results reveal the ultrastructure of the microsporidian invasion apparatus in situ, laying the foundation for understanding infection mechanisms.

microbiology↗

bioRxiv2024

Single influenza A viruses induce nanoscale cellular reprogramming at the virus-cell interface

Viruses, as nanoscale entities with limited proteomes, must efficiently infect target cells using their available resources. During infection, individual virions induce specific cellular signaling within the virus-cell interface, a nanoscale patch of the plasma membrane in contact with the virus. However, virus-induced receptor recruitment and cellular activation are transient processes that occur within minutes and at the nanoscale level. Hence, the temporal and spatial kinetics of such early events often remain poorly understood due to technical limitations. To address this challenge, we developed a novel protocol to covalently immobilize unmodified influenza A viruses on glass surfaces before exposing them to live epithelial cells. This approach extends the observation time for virus-plasma membrane interaction while preserving the viruses native state for uncompromised cell interaction. Using single-molecule super-resolution microscopy, we investigated virus-receptor interaction showing that viral receptors are not immobilized by the virus but rather slowed down, which leads to a specific local receptor accumulation and turnover. We further followed the dynamics of clathrin-mediated endocytosis at the single-virus level and demonstrate the recruitment of adaptor protein 2 (AP-2), previously thought to be uninvolved in influenza A virus infection. Finally, we examined the nanoscale organization of the actin cytoskeleton at the virus-binding site, showing a local and dynamic response of the cellular actin cortex to the infecting virus. Our findings provide novel insights into the fundamental process of virus-cell interaction and demonstrate the versatility and potential impact of our approach on virus-cell biology.

microbiology↗

bioRxiv2024

Integrative spatiotemporal modeling of biomolecular processes: application to the assembly of the Nuclear Pore Complex

Dynamic processes involving biomolecules are essential for the function of the cell. Here, we introduce an integrative method for computing models of these processes based on multiple heterogeneous sources of information, including time-resolved experimental data and physical models of dynamic processes. We first compute integrative structure models at fixed time points and then optimally select and connect these snapshots into a series of trajectories that optimize the likelihood of both the snapshots and transitions between them. The method is demonstrated by application to the assembly process of the human Nuclear Pore Complex in the context of the reforming nuclear envelope during mitotic cell division, based on live-cell correlated electron tomography, bulk fluorescence correlation spectroscopy-calibrated quantitative live imaging, and a structural model of the fully-assembled Nuclear Pore Complex. Modeling of the assembly process improves the model precision over static integrative structure modeling alone. The method is applicable to a wide range of time-dependent systems in cell biology, and is available to the broader scientific community through an implementation in the open source Integrative Modeling Platform software.

biophysics↗

bioRxiv2024

Overcoming fixation and permeabilization challenges in flow cytometry by optical barcoding and multi-pass acquisition

The fixation and permeabilization of cells are essential for labeling intracellular biomarkers in flow cytometry. However, these chemical treatments often alter fragile targets, such as cell surface and fluorescent proteins, and can destroy chemically-sensitive fluorescent labels. This reduces measurement accuracy and introduces compromises into sample workflows, leading to losses in data quality. Here, we demonstrate a novel multi-pass flow cytometry approach to address this long-standing problem. Our technique utilizes individual cell barcoding with laser particles, enabling sequential analysis of the same cells with single-cell resolution maintained. Chemically-fragile protein markers and their fluorochrome conjugates are measured prior to destructive sample processing and adjoined to subsequent measurements of intracellular markers after fixation and permeabilization. We demonstrate the effectiveness of our technique in accurately measuring intracellular fluorescent proteins and methanol-sensitive antigens and fluorophores, along with various surface and intracellular markers. This approach significantly enhances assay flexibility, enabling accurate and comprehensive cell analysis without the constraints of conventional one-time measurement flow cytometry. This innovation paves new avenues in flow cytometry for a wide range of applications in immuno-oncology, stem cell research, and cell biology.

bioengineering↗

bioRxiv2024

The GenPPI tool enhanced Protein Interaction Network Generation with Machine Learning-Based Protein Similarity Inference

AbstractO_ST_ABSBackgroundC_ST_ABSComputational prediction of protein-protein interactions (PPIs) is crucial for understanding cell biology and drug development, offering an alternative to costly experimental methods. The original GenPPi software advanced ab initio PPI network prediction from bacterial genomes but was limited by its reliance on high sequence similarity. This work introduces GenPPi 1.5 to enhance these predictive capabilities. ResultsGenPPi 1.5 incorporates a Random Forest (RF) algorithm, trained on 60 biophysical features from amino acid propensity indices, to classify protein similarity even in low sequence identity scenarios (targeting >65% identity). To manage computational complexity from the increased interactions generated by the RF model, especially in extensive conserved phylogenetic profiles, we developed and integrated the Reduced Interaction Sampling (RIS) algorithm. RIS stochastically samples interactions within these profiles, optimizing performance for complete genome analysis. Extensive simulations across various configurations validated the methodology. RF integration significantly broadened GenPPis predictive power; application to Buchnera aphidicola showed up to 62% overlap with STRING database interactions. Analysis of RIS demonstrated that while introducing some randomness, critical node identification remains robust, particularly for Top N values[≥] 100, indicating minimal compromise to network integrity. ConclusionThe combination of Machine Learning (RF) and the RIS algorithm in GenPPi 1.5 represents a significant advancement. It overcomes the highsimilarity dependency of the previous version while efficiently handling complex genomes. GenPPi 1.5 provides a robust and scalable alignment-free PPI prediction solution, enabling users to train custom models tailored to specific genomic contexts. GenPPi is freely available on our website https://genppi.facom.ufu.br/, its source code is hosted on GitHub https://github.com/santosardr/genppi, and it can be easily installed via the Python Package Index using the command pip install genppipy.

bioinformatics↗

bioRxiv2024

Cell Geometry and Membrane Protein Crowding Constrain Growth Rate, Overflow Metabolism, Respiration, and Maintenance Energy.

The rules of prokaryotic cell design remain elusive. Here, a theory is presented for interpreting growth rate, overflow metabolism, respiration efficiency, and maintenance energy flux based on cell dimensions, membrane protein crowding, and metabolism. The theory employs biophysical properties and systems analysis to successfully interpret phenotypes of Escherichia coli K-12 strains MG1655 and NCM3722. These strains are genetically similar but differ in surface area-to-volume (SA:V) ratios ([~]30%), growth rate on glucose ([~]40%), and overflow-inducing growth rates ([~]80%). Six predictions were tested and validated using experimental phenomics, proteomics, and mutant data. Analyses did not require assumptions regarding cytosolic macromolecular crowding highlighting the distinct properties of the theory. Cell geometry and membrane protein crowding are significant biophysical constraints of cell biology.

systems biology↗

bioRxiv2024

SCRATCH: A programmable, open-hardware, benchtop robot that automatically scratches cultured tissues to investigate cell migration, healing, and tissue sculpting.

Despite the widespread popularity of the scratch assay, where a pipette is dragged through cultured tissue to create an injury gap to study cell migration and healing, the manual nature of the assay carries significant drawbacks. So much of the process depends on individual manual technique, which can complicate quantification, reduce throughput, and limit the versatility and reproducibility of the approach. Here, we present a truly open-source, low-cost, accessible, and robotic scratching platform that addresses all of the core issues. Compatible with nearly all standard cell culture dishes and usable directly in a sterile culture hood, our robot makes highly reproducible scratches in a variety of complex cultured tissues with high throughput. Moreover, we demonstrate how scratching can be programmed to precisely remove areas of tissue to sculpt arbitrary tissue and wound shapes, as well as enable truly complex co-culture experiments. This system significantly improves the usefulness of the conventional scratch assay, and opens up new possibilities in complex tissue engineering and cell biological assays for realistic wound healing and migration research.

bioengineering↗

bioRxiv2024

LLPS REDIFINE allows the biophysical characterization of multicomponent condensates without tags or labels

Liquid-liquid phase separation (LLPS) phenomenon plays a vital role in multiple cell biology processes, providing a mechanism to concentrate biomolecules and promote cellular reactions locally. Despite its significance in biology, there is a lack of conventional techniques suitable for studying biphasic samples in their biologically relevant form. Here, we present a label-free and non-invasive approach to characterize protein, RNA and water in biomolecular condensates termed LLPS REstricted DIFusion of INvisible speciEs (REDIFINE). Relying on diffusion NMR measurements, REDIFINE exploits the exchange dynamics between the condensed and dispersed phases to allow the determination of not only diffusion constants in both phases but also the fractions of the species, the average radius of the condensed droplets and the exchange rate between the phases. We can also access the concentration of proteins in both phases. Observing proteins, RNAs, water, and even small molecules, REDIFINE analysis allows a rapid biophysical characterization of multicomponent condensates which is important to understand their functional roles. In comparing multiple systems, REDIFINE reveals that folded RNA-binding proteins form smaller and more dynamic droplets compared to the disordered ones. In addition, REDIFINE proved to be valuable beyond LLPS for the determination of binding constants in soluble protein-RNA without the need for titration.

biophysics↗

bioRxiv2024

DiatOmicBase, a gene-centered platform to mine functional omics data across diatom genomes

Diatoms are prominent microalgae found in all aquatic environments. Over the last 20 years, thanks to the availability of genomic and genetic resources, diatom species such as Phaeodactylum tricornutum have emerged as valuable experimental model systems for exploring topics ranging from evolution to cell biology, (eco)physiology and biotechnology. Since the first genome sequencing in 2008, numerous genome-enabled datasets have been generated, based on RNA-Seq and proteomics, epigenomes, and ecotype variant analysis. Unfortunately, these resources, generated by various laboratories, are often in disparate formats and challenging to access and analyze. Here we present DiatOmicBase, a genome portal gathering comprehensive omics resources from P. tricornutum and two other diatoms to facilitate the exploration of dispersed public datasets and the design of new experiments based on the prior-art. DiatOmicBase provides gene annotations, transcriptomic profiles and a genome browser with ecotype variants, histone and methylation marks, transposable elements, non-coding RNAs, and read densities from RNA-Seq experiments. We developed a semi-automatically updated transcriptomic module to explore both publicly available RNA-Seq experiments and users private datasets. Using gene-level expression data, users can perform exploratory data analysis, differential expression, pathway analysis, biclustering, and co-expression network analysis. Users can create heatmaps to visualize precomputed comparisons for selected gene subsets. Automatic access to other bioinformatic resources and tools for diatom comparative and functional genomics is also provided. Focusing on the resources currently centralized for P. tricornutum, we showcase several examples of how DiatOmicBase strengthens molecular research on diatoms, making these organisms accessible to a broad research community. Significance statementIn recent years, diatoms have become the subject of increasing interest because of their ecological importance and their biotechnological potential for natural products such as pigments and polyunsaturated fatty acids. Here, we present an interactive web-based server that integrates public diatom omics data (genomics, transcriptomics, epigenomics, proteomics, sequence variants) to connect individual diatom genes to broader-scale functional processes.

genomics↗

bioRxiv2024

Mechanical Profiling of Biopolymer Condensates through Acoustic Trapping

Characterizing the mechanical properties of single colloids is a central problem in soft matter physics. It also plays a key role in cell biology through biopolymer condensates, which function as membraneless compartments. Such systems can also malfunction, leading to the onset of a number of diseases, including many neurodegenerative diseases; the functional and pathological condensates are commonly differentiated by their mechanical signature. Probing the mechanical properties of biopolymer condensates at the single particle level has, however, remained challenging. In this study, we demonstrate that acoustic trapping can be used to profile the mechanical properties of single condensates in a contactless manner. We find that acoustic fields exert the acoustic radiation force on condensates, leading to their migration to a trapping point where acoustic potential energy is minimized. Furthermore, our results show that the Brownian motion fluctuation of condensates in an acoustic potential well is an accurate probe for their bulk modulus. We demonstrate that this framework can detect the change in the bulk modulus of polyadenylic acid condensates in response to changes in environmental conditions. Our results show that acoustic trapping opens up a novel path to profile the mechanical properties of soft colloids at the single particle level in a non-invasive manner with applications in biology, materials science, and beyond.

biophysics↗

bioRxiv2024

Cryo-EM structures of PP2A:B55-Eya3 and PP2A:B55-p107 define PP2A:B55 substrate recruitment

The phosphoprotein phosphatase (PPP) family of ser/thr phosphatases are responsible for the majority of all ser/thr dephosphorylation in cells. However, unlike their kinase counterpart, they do not achieve specificity via phosphosite recognition sequences, but instead bind substrates and regulators using PPP-specific short linear and/or helical motifs (SLiMs, SHelMs). Protein phosphatase 2A (PP2A) is a highly conserved PPP that regulates cell signaling and is a tumor suppressor. Here, we investigate the mechanisms of substrate and regulator recruitment to the PP2A:B55 holoenzyme to define how substrates and regulators engage B55 and understand, in turn, how these interactions direct phosphosite dephosphorylation. Our cryo-EM structures of PP2A:B55 bound to p107 (substrate) and Eya3 (regulator), coupled with biochemical, biophysical and cell biology assays, show that while B55 associates using a common set of interaction pockets, the mechanisms of substrate and regulator binding can differ substantially. This shows that B55-mediated substrate recruitment is distinct from that observed for PP2A:B56 and other PPPs. It also allowed us to identify the core B55 recruitment motif in Eya3 proteins, a sequence we show is conserved amongst the Eya family. Finally, using NMR-based dephosphorylation assays, we also showed how B55 recruitment directs PP2A:B55 fidelity, via the selective dephosphorylation of specific phosphosites. Because of the key regulatory functions of PP2A:B55 in mitosis and DNA damage repair, these data provide a roadmap for pursuing new avenues to therapeutically target this complex by individually blocking a subset of regulators that use different B55 interaction sites.

biochemistry↗

bioRxiv2024

Chromatin remodeler BRG1 recruits huntingtin to repair DNA double-strand breaks in neurons

Persistent DNA double-strand breaks (DSBs) are enigmatically implicated in neurodegenerative diseases including Huntingtons disease (HD), the inherited late-onset disorder caused by CAG repeat elongations in Huntingtin (HTT). Here we combine biochemistry, computation and molecular cell biology to unveil a mechanism whereby HTT coordinates a Transcription-Coupled Non-Homologous End-Joining (TC-NHEJ) complex. HTT joins TC-NHEJ proteins PNKP, Ku70/80, and XRCC4 with chromatin remodeler Brahma-related Gene 1 (BRG1) to resolve transcription-associated DSBs in brain. HTT recruitment to DSBs in transcriptionally active gene- rich regions is BRG1-dependent while efficient TC-NHEJ protein recruitment is HTT-dependent. Notably, mHTT compromises TC-NHEJ interactions and repair activity, promoting DSB accumulation in HD tissues. Importantly, HTT or PNKP overexpression restores TC-NHEJ in a Drosophila HD model dramatically improving genome integrity, motor defects, and lifespan. Collective results uncover HTT stimulation of DSB repair by organizing a TC-NHEJ complex that is impaired by mHTT thereby implicating dysregulation of transcription-coupled DSB repair in mHTT pathophysiology. Highlights* BRG1 recruits HTT and NHEJ components to transcriptionally active DSBs. * HTT joins BRG1 and PNKP to efficiently repair transcription related DSBs in brain. * Mutant HTT impairs the functional integrity of TC-NHEJ complex for DSB repair. * HTT expression improves DSB repair, genome integrity and phenotypes in HD flies.

neuroscience↗

bioRxiv2024

DNA polymerase Zeta is a robust reverse transcriptase

Cell biology and genetic studies have demonstrated that DNA double strand break (DSB) repair can be performed using an RNA transcript that spans the site of the DNA break as a template for repair. This type of DSB repair requires a reverse transcriptase to convert an RNA sequence into DNA to facilitate repair of the break, rather than copying from a DNA template as in canonical DSB repair. Translesion synthesis (TLS) DNA polymerases (Pol) are often more promiscuous than DNA Pols, raising the notion that reverse transcription could be performed by a TLS Pol. Indeed, several studies have demonstrated that human Pol {eta} has reverse transcriptase activity, while others have suggested that the yeast TLS Pol {zeta} is involved. Here, we purify all seven known nuclear DNA Pols of Saccharomyces cerevisiae and compare their reverse transcriptase activities. The comparison shows that Pol {zeta} far surpasses Pol {eta} and all other DNA Pols in reverse transcriptase activity. We find that Pol {zeta} reverse transcriptase activity is not affected by RPA or RFC/PCNA and acts distributively to make DNA complementary to an RNA template strand. Consistent with prior S. cerevisiae studies performed in vivo, we propose that Pol {zeta} is the major DNA Pol that functions in the RNA templated DSB repair pathway.

biochemistry↗

bioRxiv2024

CRISPR/Cas9-based somatic knock-in of reporters in the avian embryo in ovo

Gene editing and protein tagging are at the heart of modern developmental and cell biology. The advent of CRISPR/Cas9 based methods offers the possibility to develop customized approaches for genomic manipulations in non-classical experimental models. Here, we show that highly efficient somatic knock-ins of long DNA fragments can be achieved in the developing chick neural tube in ovo. We compare different types of repair matrices and different methods for the delivery of the CRISPR/Cas9 machinery, and find that an all plasmid-based approach and short arms of homology provide an easy and efficient method to achieve high frequencies of knock-in insertions with virtually no background signal. We use this method to target fluorescent reporters and dynamically monitor the subcellular distribution of endogenously expressed tagged proteins, as well as to insert the Gal4-VP16 transcription factor or the Cre recombinase at specific loci to label neural sub-populations in the chick embryonic spinal cord. Finally, we show that the method can also be applied to target the epiblast and somitic mesoderm.

developmental biology↗

bioRxiv2024

DprA recruits ComM to facilitate recombination during natural transformation in Gram-negative bacteria

Natural transformation (NT) represents one of the major modes of horizontal gene transfer in bacterial species. During NT, cells can take up free DNA from the environment and integrate it into their genome by homologous recombination. While NT has been studied for >90 years, the molecular details underlying this recombination remain poorly understood. Recent work has demonstrated that ComM is an NT-specific hexameric helicase that promotes recombinational branch migration in Gram-negative bacteria. How ComM is loaded onto the post-synaptic recombination intermediate during NT, however, remains unclear. Another NT-specific recombination mediator protein that is ubiquitously conserved in both Gram-positive and Gram-negative bacteria is DprA. Here, we uncover that DprA homologs in Gram-negative species contain a C-terminal winged helix domain that is predicted to interact with ComM by AlphaFold. Using Helicobacter pylori and Vibrio cholerae as model systems, we demonstrate that ComM directly interacts with the DprA winged-helix domain, and that this interaction is critical for DprA to recruit ComM to the recombination site to promote branch migration during NT. These results advance our molecular understanding of recombination during this conserved mode of horizontal gene transfer. Furthermore, they demonstrate how structural modeling can help uncover unexpected interactions between well-studied proteins to provide deep mechanistic insight into the molecular coordination required for their activity. SIGNIFICANCE STATEMENTBacteria can acquire novel traits like antibiotic resistance and virulence through horizontal gene transfer by natural transformation. During this process, cells take up free DNA from the environment and integrate it into their genome by homologous recombination. Many of the molecular details underlying this process, however, remain incompletely understood. In this study, we identify a new protein-protein interaction between ComM and DprA, two factors that promote homologous recombination during natural transformation in Gram-negative species. Through a combination of bioinformatics, structural modeling, cell biological assays, and complementary genetic approaches, we demonstrate that this interaction is required for DprA to recruit ComM to the site of homologous recombination.

microbiology↗